Triple
T17943254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSJ100 |
E448636
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | SSJ100SBJ |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SSJ100SBJ | Statement: [SSJ100, hasVariant, SSJ100SBJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SSJ100SBJ Context triple: [SSJ100, hasVariant, SSJ100SBJ]
-
A.
SSJ100
chosen
SSJ100 is a Russian regional jet airliner developed by Sukhoi Civil Aircraft for short- to medium-haul passenger service.
-
B.
SSJ
SSJ is the IATA airport code for Sandnessjøen Airport, a regional airport serving the town of Sandnessjøen in Nordland, Norway.
-
C.
SJJ
SJJ is the three-letter IATA airport code for Sarajevo International Airport, the main airport serving Bosnia and Herzegovina’s capital city.
-
D.
J100
J100 is the internal model code used by Lexus to designate the second generation of its full-size luxury SUV, the Lexus LX.
-
E.
4SJ
4SJ is the nickname of Forrest J Ackerman, the influential science fiction fan, editor, and literary agent often called the "Father of Science Fiction."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad97611c8190a861467ae51f6c48 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.